9 of 9 Reinforcement Learning Jobs in the South East

execution of trades and modeling and building simulations of risk, to name a few. The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building … frameworks for deployments, measurements, re-training, etc. We are seeking an AI Engineering Lead who has experience with LLMs, deep learning, reinforcement learning, as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software ...

currently working on an AI Engineer role with a global language and translation company. You will be designing, developing, and deploying cutting-edge machine learning solutions across the company.If you enjoy end-to-end ownership (from experimentation to deployment), working with AWS, Docker, MLflow, TensorFlow/PyTorch, and contributing … code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning ...

DevOps Engineer - Reinforcement Learning Platforms We are seeking an experienced DevOps Engineer to help build and scale a web-based platform for reinforcement learning (RL) training and RLOps. You will design, implement, and maintain the cloud infrastructure, CI/CD pipelines, and deployment systems that support … solving and communication skills Compensation & Benefits * Stock options* 30 days' holiday plus bank holidays* Flexible and remote working options* Enhanced parental leave* £500 annual learning and development budget* Pension scheme* Regular socials and quarterly gatherings* Bike-to-Work scheme ...

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office … production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software ...

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking … research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning ...

looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management … setting a high bar for technical and delivery excellence. Bonus Skills. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near-real-time scoring pipelines or streaming-based ML systems. Interest in emerging technologies ...

preparing for an international launch, we're now looking for a Senior Data Scientist. What you'll be doing: Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling … Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from research to production and keep them running ...

analytics to drive measurable value. What you will be doing: Data Science and Analytics Lead the design and delivery of advanced analytical and Machine Learning solutions across different business functions; for example; predictive reserving, claims forecasting, capital optimisation, portfolio risk, and operational efficiency, leveraging end-to-end ML architectures … spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python ...

automation system designed to deliver efficient, adaptable performance across real-world environments, beginning with industrial applications. Responsibilities Lead the strategy and execution of representation learning, behaviour cloning, and reinforcement learning programs. Drive large-scale post-training for multi-modal LLM/VLM/VLA systems, integrating vision … optimise models for real-time edge inference. Grow, mentor, and unblock a high-performing team of researchers and engineers. Requirements 6+ years developing deep learning systems, with 2+ years in technical leadership. Hands-on experience with LLM/VLM architecture design and large-scale training. Proven expertise in robotics ...